Course Highlights
This course features materials that can be presented in a variety of
ways, as reflected by the versions taught in the Spring 2004 and Spring
2005 terms. Those two semesters represent somewhat different
approaches, as the
syllabi indicate. For both, the course material references various texts; class notes are also under development.
Course Description
This course is taken mainly by undergraduates, and explores ideas
involving signals, systems and probabilistic models in the context of
communication, control and signal processing applications. The material
expands out from the basics in
6.003 and
6.041.
The treatment involves aspects of analysis, synthesis, and
optimization. Topics covered differ somewhat from semester to semester,
but typically include: random processes, correlations, spectral
densities, state-space modeling, multirate processing, signal
estimation and detection.
*Some translations represent previous versions of courses.